Understanding Image Processing Techniques Information
Medical Image Analysis 3-day practical course in The University of Edinburgh
Title: Understanding Image Processing Techniques
Duration and date: Three days course, from October 1st to October 3rd 2014
Audience: This course is intended for those who work in clinical and
cognitive-related areas who do not have a background in computer
sciences or image processing. Materials from the MSc Neuroimaging for
Research correspondent to 20 credits will be available for
participants from 2 weeks before the initial day of the course. They
underpin the lectures and activities programmed during these 3 days
and their cost is included in the course fee.
The first day is for beginners. Materials on this day will cover:
basics on computer architecture and functioning, basics on foetal and
neonatal Magnetic Resonance Imaging, basics on statistics on images:
normal and abnormal brains, basics concepts on image processing, main
challenges on medical images and an introduction to MATLAB.
The second and third day cover contents that require a basic
understanding of MATLAB. Contents will range from processing molecular
to retinal images, giving also information about image processing for
cancer therapy planning, processing of dynamic sequences and
computational 3D models of brain structures. Software and tools for
various types of medical image processing will be given.
Venue: Greenfield Suite. Hugh Robson Building,
George Square, Edinburgh (University of Edinburgh Central Campus)
Preliminary Outline of the course
Day one: Wednesday 1st of October 2014
MORNING SESSION: Dr. Maria C. Valdés Hernández
9:00am - 9:15am Presentations and Introduction
9:15am: 10:15am Basics on computer architecture and assembly
(machine) language as the underpinning framework of digital images
Content: This interactive session will show how the computers work
internally and how we can access the resources that the hardware
has. Also give tips and tools so as the participants are able to
discern and evaluate which version (e.g. 32 bits, 64 bits, memory
capacity, processing speed, etc.) of any software to select or
download and estimate timelines for tasks that involve image data
processing.
10:15am: 10:30am Coffee and Tea break
10:30am - 11:30am Basic processing of medical imaging. Overview
Content: This lecture gives an overview of the types of MR images:
structural and parametric ones, data formats, their main features and
usability. Also explains basic principles of medical image processing,
concepts of: signal intensity, contrast, histogram, equalisation,
filtering, types of resolution, quantisation and others terms commonly
used in the relevant literature.
11:30am - 12:30pm Detecting Tissue Damages Following Traumatic Brain
Injury:-Development of Automatic Multi-parametric Analysis of
Quantitative MRI Data Invited guest speaker: Dr. Benjamin Aribisala:
Professor and Head of the Department of Computer Science at Lagos
State University, Nigeria, and Honorary Fellow at the Department of
Neuroimaging Sciences, University of Edinburgh. Content: This lecture
explains the use of machine learning algorithms in the classification
of mild traumatic brain injury patients using multiparametric MRI
quantitative data
12:30m: 1:30pm Lunch break
1:30pm: 2:30pm Statistics on medical images, normal and abnormal brains
Speaker: Dr. David Alexander Dickie (CCBS. University of Edinburgh)
Content: Overview about statistics on medical images and works
related to determining normal and abnormal brains
2:30pm: 3:30pm The brain from its formation till adolescence.
Speaker: Dr. Devasuda Anblagan (CCACE-CCBS. University of
Edinburgh) Content: Overview of foetal and neonatal MRI, and
the development of the brain since its formation till the
adolescence.
3:30pm: 3:45pm Coffee and Tea break
3:45pm: 4:45pm Introduction to MATLAB Speaker/Tutor: Eng. Anna
K. Heye (CCBS. University of Edinburgh)
Day two: Thursday 2nd October 2014
9:30am - 10:00am Imaging inflammation in cardiovascular diseases
Speaker: Dr. Scott Semple (Reader in Medical Physics. CRIC, University
of Edinburgh)
10:00am: 10:30am Imaging brain small vessel disease Speaker:
Dr. Maria Valdés Hernández (CCBS, University of Edinburgh)
10:30am: 11:00am Challenges in Ultrasound imaging. Speaker:
Dr. Carmel Moran (Reader in Medical Physics, University of Edinburgh)
11:00am: 11:15am Coffee break
MATLAB PRACTICAL SESSION
11:15am -12:30pm Basic Image Processing in MATLAB
12:30pm: 1:30pm Lunch break
1:30pm: 2:30pm Analysis of 3D Images in MATLAB
2:30pm: 3:30pm Brain Image Processing in MATLAB
3:30pm: 3:45pm Coffee break
3:45pm: 4:45pm Analysis of the results: Graphs and interaction
with Excel spreadsheets
Day three: Friday 3rd October 2014
9:30am: 10:00am Computational modelling in Medical Images Speaker:
Dr. Maria C. Valdés Hernández (CCBS. University of Edinburgh)
10:00am: 10:45am Image Analysis on Cancer Therapy planning
Speaker: Dr. Bill Nailon (Edinburgh Cancer Research Centre)
10:45am -11:00am Coffee break
11:00am - 12:00am Is there something in your eye: retinal image
analysis for systemic and neurological biomarker discovery
Speaker: Dr. Tom MacGillivray (CRIC.University of Edinburgh)
Content: This activity includes explanation about retinal
imaging and how analysis can reveal, for example, the health
of cerebral small vessels. This is combined with a practical
activity where delegates will be able to perform retinal
analysis using VAMPIRE (Vasculature Assessment and Measurement
Platform for Images of the Retina). This software allows
efficient measurements and automatic analysis of retinal
parameters obtained from digital fundus camera images.
12:00m: 1:00pm Lunch break
1:00pm: 2:00pm Measuring lesion and tissue volumes from MRI
structural images Speaker: Dr. Maria C. Valdes Hernandez
(CCBS. University of Edinburgh) Content: Practical activity
where the participants will be able to segment tissues and
lesions using the software bric1936 and visualise the results.
2:00pm: 3:00pm Consideration about validation of image
segmentation methods and concluding remarks Speaker: Maria
C. Valdés Hernández (CCBS. University of Edinburgh)